Kernel Machines for Text Classification
This chapter details the concept of kernel methods and presents the foundations of two paradigmatic techniques: support vector machines and relevance vector machines. Both are introduced in a text classification perspective and then results and comparisons of their application to benchmark corpora are presented.
KeywordsSupport Vector Machine Support Kernel Method Training Error Relevance Vector Machine Hypothesis Space
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